Use of Multiple Contexts for Real Time Face Identification

  • Suman Sedai
  • Koh Eun Jin
  • Pankaj Raj Dawadi
  • Phill Kyu Rhee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4418)

Abstract

We present the design of face identification system that can run in real time environment. We use multiple contexts to optimize the face recognition performance in real time. Initially different illumination environments are modeled as context using unsupervised learning and accumulated as context knowledge. Optimization parameters for each context are learned using Genetic Algorithm (GA).GA search the optimization parameter so as to minimize the effect of illumination variation. These weight parameters are used during similarity match of face images in real time recognition. Gabor wavelet is used for facial feature representation. Experiment is done using real time face database containing images taken under various illumination conditions. The proposed context aware method has been shown to provide superior performance than the method without using context awareness.

Keywords

Face Recognition Face Image Equal Error Rate Gabor Wavelet Multiple Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Suman Sedai
    • 1
  • Koh Eun Jin
    • 1
  • Pankaj Raj Dawadi
    • 1
  • Phill Kyu Rhee
    • 1
  1. 1.Dept. of Computer Science & Engineering, Inha University, 253, Yong-Hyun Dong, Nam-Gu, IncheonSouth Korea

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